Awesome-Machine-Learning P5

General-Purpose Machine Learning

  • Convnet.js - ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]
  • Clusterfck - Agglomerative hierarchical clustering implemented in Javascript for Node.js and the browser.
  • Clustering.js - Clustering algorithms implemented in Javascript for Node.js and the browser.
  • Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm.
  • DN2A - Digital Neural Networks Architecture.
  • figue - K-means, fuzzy c-means and agglomerative clustering.
  • Gaussian Mixture Model - Unsupervised machine learning with multivariate Gaussian mixture model.
  • Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js
  • Keras.js - Run Keras models in the browser, with GPU support provided by WebGL 2.
  • Kmeans.js - Simple Javascript implementation of the k-means algorithm, for node.js and the browser.
  • LDA.js - LDA topic modeling for Node.js
  • Learning.js - Javascript implementation of logistic regression/c4.5 decision tree
  • Machine Learning - Machine learning library for Node.js
  • machineJS - Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file!
  • mil-tokyo - List of several machine learning libraries.
  • Node-SVM - Support Vector Machine for Node.js
  • Brain - Neural networks in JavaScript [Deprecated]
  • Brain.js - Neural networks in JavaScript - continued community fork of Brain.
  • Bayesian-Bandit - Bayesian bandit implementation for Node and the browser.
  • Synaptic - Architecture-free neural network library for Node.js and the browser.
  • kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
  • NeuralN - C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training.
  • kalman - Kalman filter for Javascript.
  • shaman - Node.js library with support for both simple and multiple linear regression.
  • ml.js - Machine learning and numerical analysis tools for Node.js and the Browser!
  • Pavlov.js - Reinforcement learning using Markov Decision Processes.
  • MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
  • deeplearnjs - A hardware-accelerated machine intelligence library for the web
  • JSMLT - Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
  • xgboost-node - Run XGBoost model and make predictions in Node.js.

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